PT  - JOURNAL ARTICLE
AU  - Nouzha Chahboune
AU  - Mohamed Mehdi
AU  - Allal Douira
TI  - Automatic classification of diatoms of Merja fouarate
AID  - 10.1101/099135
DP  - 2017 Jan 01
TA  - bioRxiv
PG  - 099135
4099  - http://biorxiv.org/content/early/2017/01/09/099135.short
4100  - http://biorxiv.org/content/early/2017/01/09/099135.full
AB  - Objective: This work consists of developing an automatic method of form analysis and classification of diatoms through processing of scanned images. The fundamental objective is to determine to what extent two diatoms are similar from the images stored in a database, and to conclude to what classes they belong. To do so, a comparison is made between a manual identification and an automatic identification, based on the ultimate points and the Freeman Chain Code.